An application of Differential Evolution technique on unit commitment problem using Priority List approach

Author

Govardhan, Manisha ; Roy, Ranjit

fYear

2012

fDate

2-5 Dec. 2012

Firstpage

858

Lastpage

863

Abstract

This paper solves Unit commitment (UC) problem using Priority List (PL) method based on maximum power rating of the generating unit while satisfying all the constraints over a period of time. Two novel optimization techniques, namely Particle Swarm Optimization (PSO) and Differential Evolution (DE) are implemented to deal with UC problem and to attain minimum operating cost by proper scheduling of the generating units. The results are compared by considering 10 and 20 units test system over a 24 hour scheduling period. It is found that the results achieved by applying Differential evolution (DE) algorithm are better compared to Particle Swarm Optimization.

Keywords

particle swarm optimisation; power generation dispatch; power generation scheduling; differential evolution; generating units; maximum power rating; particle swarm optimization; priority list approach; scheduling; unit commitment problem; Conferences; Fuels; Optimization; Particle swarm optimization; Power generation; Sociology; Vectors; Differential Evolution (DE); Particle Swarm Optimization (PSO); Priority List (PL); Unit commitment (UC);

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy (PECon), 2012 IEEE International Conference on

Conference_Location

Kota Kinabalu

Print_ISBN

978-1-4673-5017-4

Type

conf

DOI

10.1109/PECon.2012.6450338

Filename

6450338